Living Models AI provides a cloud‑based AI platform that uses a 1‑billion‑parameter deep learning model (BOTANIC‑0) to interpret plant DNA sequences, predicting gene function, regulatory elements, and trait associations.
Funding
Funding not disclosed
Founders
Product
Problem
The current crop trait discovery pipeline is slow and costly, often taking years to develop new traits, which hampers seed and breeding companies' ability to respond to yield losses from climate change.
Solution
Living Models AI offers a cloud‑based AI platform that learns the language of plant DNA to predict gene function, regulatory elements, and trait associations directly from genomic sequences. By training a 1‑billion‑parameter model (BOTANIC‑0) on a cluster of 120 B200 GPUs, the service provides high‑throughput, in‑silico analysis that can accelerate candidate gene identification and reduce experimental cycles. The platform releases open‑weight models and publishes accompanying research, enabling customers to integrate the predictions into their own breeding workflows or build custom downstream tools. This approach aims to shorten development timelines and improve resilience against climate‑driven yield challenges.
Target Audience
Primary customers are seed producers, plant breeding companies, and agricultural research organizations seeking rapid genomic insight for trait development.
Features
- 1 billion‑parameter deep learning model (BOTANIC‑0) trained on large‑scale GPU infrastructure
- Predictive outputs for gene function, regulatory motifs, and quantitative trait associations from raw DNA sequences
- Open‑weight model distribution and accompanying peer‑reviewed research for transparent validation
- Scalable cloud inference API that integrates with existing breeding data pipelines
- Capability to fine‑tune models on proprietary datasets for species‑specific trait discovery